Thomas J. Howard III

According to our database, Thomas J. Howard III authored at least 5 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Let them have CAKES: A Cutting-Edge Algorithm for Scalable, Efficient, and Exact Search on Big Data.

Morgan E. Prior, Thomas J. Howard III, Oliver McLaughlin, Terry Ferguson, Najib Ishaq, Noah M. Daniels

Proceedings of the IEEE International Conference on Big Data, 2025

2024

Generalized compression and compressive search of large datasets.

Morgan E. Prior, Thomas J. Howard III, Emily Light, Najib Ishaq, Noah M. Daniels

Proceedings of the IEEE International Conference on Big Data, 2024

2023

CLAM-Accelerated K-Nearest Neighbors Entropy-Scaling Search of Large High-Dimensional Datasets via an Actualization of the Manifold Hypothesis.

Morgan E. Prior, Thomas J. Howard III, Oliver McLaughlin, Najib Ishaq, Noah M. Daniels

CoRR, 2023

2022

A deep learning framework for finding illicit images/videos of children.

Jared Rondeau, Douglas Deslauriers, Thomas J. Howard III, Marco Álvarez

Mach. Vis. Appl., 2022

2021

Clustered Hierarchical Anomaly and Outlier Detection Algorithms.

Najib Ishaq, Thomas J. Howard III, Noah M. Daniels

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021